View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Systems Thinking Leverage Points |  Knowledge Modeling Competency Questions |  Product Discovery Assumption Mapping |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | Half day | 2-4 h | 45-60 min | Halber Tag pro Domain Slice |
Participantsdifferent | 3-12 | 2-8 | 2-8 | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Assumption map, Test backlog, Risk ranking | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | Systems thinkingChangeStrategy | OntologyKnowledge graphScopeRequirementsSemantic | AssumptionsRiskExperimentsValidation | Knowledge graphValidationSemantic |